Comparison
AEO vs GEO
AEO works on getting quoted directly by answer engines. GEO works on being represented well inside generative AI responses. They overlap heavily and are often used together, but both are about getting found and understood, not about whether AI recommends and picks you once a buyer applies their requirements.
What AEO is
Answer Engine Optimization structures your content and metadata so answer engines pull you in and quote you, where success means getting cited.
What GEO is
Generative Engine Optimization structures your content, entities, and authority so generative AI systems describe your company accurately in the answers they write.
Where they overlap
Both are about getting found and understood: clear structure, schema, credible sourcing, and consistent signals about who you are. In practice the tactics overlap so much that many teams treat them as one effort.
Where they differ
AEO is framed around being the quoted answer; GEO is framed around being well represented in a generated response. The distinction is mostly emphasis. Neither addresses what happens after you are found, when the buyer adds requirements and the list narrows.
Where both fit as AI decides who to recommend
AEO and GEO both work at the front, getting found. They help you get onto the list AI considers. What decides who survives, who gets cut, and who is chosen happens later, in the steps Upstream Zero studies.